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ROAD PROFILE ESTIMATION FOR VEHICLE LOCALIZATION

机译:车辆定位的道路轮廓估计

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Measuring road profile is mainly used for a road maintenance purpose. Another interesting application of the knowledge on road profile is vehicle localization if the knowledge is available in real-time. A cost effective and implementable approach of measuring or estimating a road profile in a passenger vehicle is estimating the profile using inertial sensors that is readily installed for active safety features. The suggested method is a Kalman filter based disturbance observer without assuming a constant disturbance. By estimating the disturbance of k-1 time step at the k time step, the constant disturbance assumption is not necessary. The required observer structure and dynamics are presented as well as simulation and experimental results.
机译:测量道路轮廓主要用于道路维护。如果知识是实时可用的,则该知识在道路轮廓上的另一个有趣应用是车辆定位。在乘用车中测量或估算道路轮廓的一种经济有效且可实施的方法是使用惯性传感器估算轮廓,该惯性传感器易于安装用于主动安全功能。建议的方法是基于卡尔曼滤波器的干扰观测器,而不假设恒定干扰。通过在k个时间步长估计k-1个时间步长的扰动,就不需要恒定的扰动假设。介绍了所需的观察者结构和动力学以及仿真和实验结果。

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